HighPU: a high privacy-utility approach to mining frequent itemset with differential privacy.
Yabin WangYi QiaoZhaobin LiuZhiyi HuangPublished in: Int. J. Embed. Syst. (2019)
Keyphrases
- differential privacy
- frequent itemsets
- itemsets
- mining algorithm
- differentially private
- frequent itemset mining
- privacy preserving
- association rule mining
- private data
- association rules
- privacy guarantees
- privacy preservation
- mining frequent itemsets
- transactional databases
- emerging patterns
- frequent closed itemsets
- data streams
- preserving privacy
- itemset mining
- mining association rules
- frequent patterns
- data sharing
- transaction databases
- closed itemsets
- anonymized data
- sequential patterns
- data structure
- personal information
- dense datasets
- data mining
- maximal frequent itemsets
- data privacy
- high utility
- frequent pattern mining
- knowledge discovery
- apriori algorithm
- pattern mining
- transaction data
- search logs
- sequential pattern mining
- web search
- real world